MySql中JOIN的用法示例详解_mysql

MySql中JOIN的用法示例详解目录

笛卡尔积：CROSS JOIN
内连接：INNER JOIN
左连接：LEFT JOIN
右连接：RIGHT JOIN
外连接：OUTER JOIN
USING子句
自然连接：NATURE JOIN

上次面试被问到JOIN，自己都已经忘了课堂上讲的笛卡尔积那些就是JOIN，最近重新复习了一遍

JOIN的含义就如英文单词“join”一样，连接两张表，大致分为内连接，外连接，右连接，左连接，自然连接。

先创建两个表，下面用于示例

    CREATE TABLE t_blog(
        id INT PRIMARY KEY AUTO_INCREMENT,
        title VARCHAR(50),
        typeId INT
    );
    SELECT * FROM t_blog;
    +----+-------+--------+
    | id | title | typeId |
    +----+-------+--------+
    |  1 | aaa   |      1 |
    |  2 | bbb   |      2 |
    |  3 | ccc   |      3 |
    |  4 | ddd   |      4 |
    |  5 | eee   |      4 |
    |  6 | fff   |      3 |
    |  7 | ggg   |      2 |
    |  8 | hhh   |   NULL |
    |  9 | iii   |   NULL |
    | 10 | jjj   |   NULL |
    +----+-------+--------+
    -- 博客的类别
    CREATE TABLE t_type(
        id INT PRIMARY KEY AUTO_INCREMENT,
        name VARCHAR(20)
    );
    SELECT * FROM t_type;
    +----+------------+
    | id | name       |
    +----+------------+
    |  1 | C++        |
    |  2 | C          |
    |  3 | Java       |
    |  4 | C#         |
    |  5 | Javascript |
    +----+------------+

笛卡尔积：CROSS JOIN

要理解各种JOIN首先要理解笛卡尔积。笛卡尔积就是将A表的每一条记录与B表的每一条记录强行拼在一起。所以，如果A表有n条记录，B表有m条记录，笛卡尔积产生的结果就会产生n*m条记录。下面的例子，t_blog有10条记录，t_type有5条记录，所有他们俩的笛卡尔积有50条记录。有五种产生笛卡尔积的方式如下。

SELECT * FROM t_blog CROSS JOIN t_type;
    SELECT * FROM t_blog INNER JOIN t_type;
    SELECT * FROM t_blog,t_type;
    SELECT * FROM t_blog NATURE JOIN t_type;
    select * from t_blog NATURA join t_type;
    +----+-------+--------+----+------------+
    | id | title | typeId | id | name       |
    +----+-------+--------+----+------------+
    |  1 | aaa   |      1 |  1 | C++        |
    |  1 | aaa   |      1 |  2 | C          |
    |  1 | aaa   |      1 |  3 | Java       |
    |  1 | aaa   |      1 |  4 | C#         |
    |  1 | aaa   |      1 |  5 | Javascript |
    |  2 | bbb   |      2 |  1 | C++        |
    |  2 | bbb   |      2 |  2 | C          |
    |  2 | bbb   |      2 |  3 | Java       |
    |  2 | bbb   |      2 |  4 | C#         |
    |  2 | bbb   |      2 |  5 | Javascript |
    |  3 | ccc   |      3 |  1 | C++        |
    |  3 | ccc   |      3 |  2 | C          |
    |  3 | ccc   |      3 |  3 | Java       |
    |  3 | ccc   |      3 |  4 | C#         |
    |  3 | ccc   |      3 |  5 | Javascript |
    |  4 | ddd   |      4 |  1 | C++        |
    |  4 | ddd   |      4 |  2 | C          |
    |  4 | ddd   |      4 |  3 | Java       |
    |  4 | ddd   |      4 |  4 | C#         |
    |  4 | ddd   |      4 |  5 | Javascript |
    |  5 | eee   |      4 |  1 | C++        |
    |  5 | eee   |      4 |  2 | C          |
    |  5 | eee   |      4 |  3 | Java       |
    |  5 | eee   |      4 |  4 | C#         |
    |  5 | eee   |      4 |  5 | Javascript |
    |  6 | fff   |      3 |  1 | C++        |
    |  6 | fff   |      3 |  2 | C          |
    |  6 | fff   |      3 |  3 | Java       |
    |  6 | fff   |      3 |  4 | C#         |
    |  6 | fff   |      3 |  5 | Javascript |
    |  7 | ggg   |      2 |  1 | C++        |
    |  7 | ggg   |      2 |  2 | C          |
    |  7 | ggg   |      2 |  3 | Java       |
    |  7 | ggg   |      2 |  4 | C#         |
    |  7 | ggg   |      2 |  5 | Javascript |
    |  8 | hhh   |   NULL |  1 | C++        |
    |  8 | hhh   |   NULL |  2 | C          |
    |  8 | hhh   |   NULL |  3 | Java       |
    |  8 | hhh   |   NULL |  4 | C#         |
    |  8 | hhh   |   NULL |  5 | Javascript |
    |  9 | iii   |   NULL |  1 | C++        |
    |  9 | iii   |   NULL |  2 | C          |
    |  9 | iii   |   NULL |  3 | Java       |
    |  9 | iii   |   NULL |  4 | C#         |
    |  9 | iii   |   NULL |  5 | Javascript |
    | 10 | jjj   |   NULL |  1 | C++        |
    | 10 | jjj   |   NULL |  2 | C          |
    | 10 | jjj   |   NULL |  3 | Java       |
    | 10 | jjj   |   NULL |  4 | C#         |
    | 10 | jjj   |   NULL |  5 | Javascript |
    +----+-------+--------+----+------------+

内连接：INNER JOIN

内连接INNER JOIN是最常用的连接 *** 作。从数学的角度讲就是求两个表的交集，从笛卡尔积的角度讲就是从笛卡尔积中挑出ON子句条件成立的记录。有INNER JOIN，WHERE（等值连接），STRAIGHT_JOIN,JOIN(省略INNER)四种写法。

SELECT * FROM t_blog INNER JOIN t_type ON t_blog.typeId=t_type.id;
    SELECT * FROM t_blog,t_type WHERE t_blog.typeId=t_type.id;
    SELECT * FROM t_blog STRAIGHT_JOIN t_type ON t_blog.typeId=t_type.id; --注意STRIGHT_JOIN有个下划线
    SELECT * FROM t_blog JOIN t_type ON t_blog.typeId=t_type.id;
    +----+-------+--------+----+------+
    | id | title | typeId | id | name |
    +----+-------+--------+----+------+
    |  1 | aaa   |      1 |  1 | C++  |
    |  2 | bbb   |      2 |  2 | C    |
    |  7 | ggg   |      2 |  2 | C    |
    |  3 | ccc   |      3 |  3 | Java |
    |  6 | fff   |      3 |  3 | Java |
    |  4 | ddd   |      4 |  4 | C#   |
    |  5 | eee   |      4 |  4 | C#   |
    +----+-------+--------+----+------+

左连接：LEFT JOIN

左连接LEFT JOIN的含义就是求两个表的交集外加左表剩下的数据。依旧从笛卡尔积的角度讲，就是先从笛卡尔积中挑出ON子句条件成立的记录，然后加上左表中剩余的记录（见最后三条）。

SELECT * FROM t_blog LEFT JOIN t_type ON t_blog.typeId=t_type.id;
    +----+-------+--------+------+------+
    | id | title | typeId | id   | name |
    +----+-------+--------+------+------+
    |  1 | aaa   |      1 |    1 | C++  |
    |  2 | bbb   |      2 |    2 | C    |
    |  7 | ggg   |      2 |    2 | C    |
    |  3 | ccc   |      3 |    3 | Java |
    |  6 | fff   |      3 |    3 | Java |
    |  4 | ddd   |      4 |    4 | C#   |
    |  5 | eee   |      4 |    4 | C#   |
    |  8 | hhh   |   NULL | NULL | NULL |
    |  9 | iii   |   NULL | NULL | NULL |
    | 10 | jjj   |   NULL | NULL | NULL |
    +----+-------+--------+------+------+

右连接：RIGHT JOIN

同理右连接RIGHT JOIN就是求两个表的交集外加右表剩下的数据。再次从笛卡尔积的角度描述，右连接就是从笛卡尔积中挑出ON子句条件成立的记录，然后加上右表中剩余的记录（见最后一条）。

SELECT * FROM t_blog RIGHT JOIN t_type ON t_blog.typeId=t_type.id;
    +------+-------+--------+----+------------+
    | id   | title | typeId | id | name       |
    +------+-------+--------+----+------------+
    |    1 | aaa   |      1 |  1 | C++        |
    |    2 | bbb   |      2 |  2 | C          |
    |    3 | ccc   |      3 |  3 | Java       |
    |    4 | ddd   |      4 |  4 | C#         |
    |    5 | eee   |      4 |  4 | C#         |
    |    6 | fff   |      3 |  3 | Java       |
    |    7 | ggg   |      2 |  2 | C          |
    | NULL | NULL  |   NULL |  5 | Javascript |
    +------+-------+--------+----+------------+

外连接：OUTER JOIN

外连接就是求两个集合的并集。从笛卡尔积的角度讲就是从笛卡尔积中挑出ON子句条件成立的记录，然后加上左表中剩余的记录，最后加上右表中剩余的记录。另外MySQL不支持OUTER JOIN，但是我们可以对左连接和右连接的结果做UNION *** 作来实现。

SELECT * FROM t_blog LEFT JOIN t_type ON t_blog.typeId=t_type.id
    UNION
    SELECT * FROM t_blog RIGHT JOIN t_type ON t_blog.typeId=t_type.id;
    +------+-------+--------+------+------------+
    | id   | title | typeId | id   | name       |
    +------+-------+--------+------+------------+
    |    1 | aaa   |      1 |    1 | C++        |
    |    2 | bbb   |      2 |    2 | C          |
    |    7 | ggg   |      2 |    2 | C          |
    |    3 | ccc   |      3 |    3 | Java       |
    |    6 | fff   |      3 |    3 | Java       |
    |    4 | ddd   |      4 |    4 | C#         |
    |    5 | eee   |      4 |    4 | C#         |
    |    8 | hhh   |   NULL | NULL | NULL       |
    |    9 | iii   |   NULL | NULL | NULL       |
    |   10 | jjj   |   NULL | NULL | NULL       |
    | NULL | NULL  |   NULL |    5 | Javascript |
    +------+-------+--------+------+------------+

USING子句

MySQL中连接SQL语句中，ON子句的语法格式为：table1.column_name = table2.column_name。当模式设计对联接表的列采用了相同的命名样式时，就可以使用 USING 语法来简化 ON 语法，格式为：USING(column_name)。
所以，USING的功能相当于ON，区别在于USING指定一个属性名用于连接两个表，而ON指定一个条件。另外，SELECT *时，USING会去除USING指定的列，而ON不会。实例如下。

SELECT * FROM t_blog INNER JOIN t_type ON t_blog.typeId =t_type.id;
    +----+-------+--------+----+------+
    | id | title | typeId | id | name |
    +----+-------+--------+----+------+
    |  1 | aaa   |      1 |  1 | C++  |
    |  2 | bbb   |      2 |  2 | C    |
    |  7 | ggg   |      2 |  2 | C    |
    |  3 | ccc   |      3 |  3 | Java |
    |  6 | fff   |      3 |  3 | Java |
    |  4 | ddd   |      4 |  4 | C#   |
    |  5 | eee   |      4 |  4 | C#   |
    +----+-------+--------+----+------+
    SELECT * FROM t_blog INNER JOIN t_type USING(typeId);
    ERROR 1054 (42S22): Unknown column 'typeId' in 'from clause'
    SELECT * FROM t_blog INNER JOIN t_type USING(id); -- 应为t_blog的typeId与t_type的id不同名，无法用Using，这里用id代替下。
    +----+-------+--------+------------+
    | id | title | typeId | name       |
    +----+-------+--------+------------+
    |  1 | aaa   |      1 | C++        |
    |  2 | bbb   |      2 | C          |
    |  3 | ccc   |      3 | Java       |
    |  4 | ddd   |      4 | C#         |
    |  5 | eee   |      4 | Javascript |
    +----+-------+--------+------------+

自然连接：NATURE JOIN

自然连接就是USING子句的简化版，它找出两个表中相同的列作为连接条件进行连接。有左自然连接，右自然连接和普通自然连接之分。在t_blog和t_type示例中，两个表相同的列是id，所以会拿id作为连接条件。
另外千万分清下面三条语句的区别。
自然连接:SELECT * FROM t_blog NATURAL JOIN t_type;
笛卡尔积:SELECT * FROM t_blog NATURA JOIN t_type;
笛卡尔积:SELECT * FROM t_blog NATURE JOIN t_type;

SELECT * FROM t_blog NATURAL JOIN t_type;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog,t_type WHERE t_blog.id=t_type.id;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog INNER JOIN t_type ON t_blog.id=t_type.id;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog INNER JOIN t_type USING(id);

    +----+-------+--------+------------+
    | id | title | typeId | name       |
    |  1 | aaa   |      1 | C++        |
    |  2 | bbb   |      2 | C          |
    |  3 | ccc   |      3 | Java       |
    |  4 | ddd   |      4 | C#         |
    |  5 | eee   |      4 | Javascript |
    SELECT * FROM t_blog NATURAL LEFT JOIN t_type;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog LEFT JOIN t_type ON t_blog.id=t_type.id;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog LEFT JOIN t_type USING(id);
    |  6 | fff   |      3 | NULL       |
    |  7 | ggg   |      2 | NULL       |
    |  8 | hhh   |   NULL | NULL       |
    |  9 | iii   |   NULL | NULL       |
    | 10 | jjj   |   NULL | NULL       |
    SELECT * FROM t_blog NATURAL RIGHT JOIN t_type;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog RIGHT JOIN t_type ON t_blog.id=t_type.id;
    SELECT t_blog.id,title,typeId,t_type.name FROM t_blog RIGHT JOIN t_type USING(id);
    +----+------------+-------+--------+
    | id | name       | title | typeId |
    |  1 | C++        | aaa   |      1 |
    |  2 | C          | bbb   |      2 |
    |  3 | Java       | ccc   |      3 |
    |  4 | C#         | ddd   |      4 |
    |  5 | Javascript | eee   |      4 |

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